In Regard to Wallner et al

John Kang; Reid F. Thompson; Clifton D. Fuller; Kevin A. Camphausen; Peter E. Gabriel; Charles R. Thomas

doi:10.1016/j.ijrobp.2019.10.044

In Regard to Wallner et al

John Kang, Reid F. Thompson, Clifton D. Fuller, Kevin A. Camphausen, Peter E. Gabriel, Charles R. Thomas

Research output: Contribution to journal › Letter › peer-review

Original language	English (US)
Pages (from-to)	217-218
Number of pages	2
Journal	International Journal of Radiation Oncology Biology Physics
Volume	106
Issue number	1
DOIs	https://doi.org/10.1016/j.ijrobp.2019.10.044
State	Published - Jan 1 2020

ASJC Scopus subject areas

Radiation
Oncology
Radiology Nuclear Medicine and imaging
Cancer Research

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10.1016/j.ijrobp.2019.10.044

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@article{a39b70361ea34bdcae85f04a099fd86d,

title = "In Regard to Wallner et al",

author = "John Kang and Thompson, {Reid F.} and Fuller, {Clifton D.} and Camphausen, {Kevin A.} and Gabriel, {Peter E.} and Thomas, {Charles R.}",

note = "Funding Information: J.K. is supported by an RSNA Research & Education Foundation Resident Research Grant. C.D.F. is supported by grants from Elekta, NCI, NIDCR, and NIBIB. R.F.T. reports partial employment by Oregon Health & Science University and is director of its radiation oncology informatics fellowship program. C.D.F. received funding and salary support related to this project from the National Institutes of Health (NIH), including a National Institute of Biomedical Imaging and Bioengineering (NIBIB) Research Education Programs for Residents and Clinical Fellows Grant (R25EB025787-01). C.D.F. received funding and salary support unrelated to this project from the National Institute for Dental and Craniofacial Research Establishing Outcome Measures Award (1R01DE025248/R56DE025248) and an Academic Industrial Partnership Grant (R01DE028290); National Science Foundation (NSF), Division of Mathematical Sciences, Joint NIH/NSF Initiative on Quantitative Approaches to Biomedical Big Data (QuBBD) Grant (NSF 1557679); the NIH Big Data to Knowledge (BD2K) Program of the National Cancer Institute (NCI) Early Stage Development of Technologies in Biomedical Computing, Informatics, and Big Data Science Award (1R01CA214825); and NCI Early Phase Clinical Trials in Imaging and Image Guided Interventions Program (1R01CA218148). C.D.F. has received direct industry grant support, honoraria, and travel funding from Elekta AB. The contents do not represent the views of the U.S. Department of Veterans Affairs or the U.S. government. Funding Information: John Kang MD, PhD Department of Radiation Oncology, University of Rochester Medical Center, Rochester, New York Department of Radiation Oncology University of Rochester Medical Center Rochester New York Department of Radiation Oncology, University of Rochester Medical Center, Rochester, New York Reid F. Thompson MD, PhD Department of Radiation Medicine, Oregon Health & Science University, Portland, Oregon Department of Radiation Medicine Oregon Health & Science University Portland Oregon Department of Radiation Medicine, Oregon Health & Science University, Portland, Oregon Clifton D. Fuller MD, PhD Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas Department of Radiation Oncology University of Texas MD Anderson Cancer Center Houston Texas Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas Kevin A. Camphausen MD Radiation Oncology Branch, National Cancer Institute, Bethesda, Maryland Radiation Oncology Branch National Cancer Institute Bethesda Maryland Radiation Oncology Branch, National Cancer Institute, Bethesda, Maryland Peter E. Gabriel MD, MSE Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania Department of Radiation Oncology University of Pennsylvania Philadelphia Pennsylvania Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania Charles R. Thomas MD Department of Radiation Medicine, Oregon Health & Science University, Portland, Oregon Department of Radiation Medicine Oregon Health & Science University Portland Oregon Department of Radiation Medicine, Oregon Health & Science University, Portland, Oregon To the Editor: We read with interest a welcome critique on radiation oncology fellowships by Wallner et al. 1 We agree with the authors that fellowships for advanced training should be offered for 2 reasons: to focus on opportunities to which residents may have limited exposure during residency—such as protons or brachytherapy—and to provide a path to subspecialty board certification (eg, in Hospice and Palliative Medicine). Clinical Informatics training fulfills both criteria and represents an increasingly important aspect of medical practice. Competency in informatics is an increasingly marketable skill with multiscale benefits ranging from translational research to institutional quality assessment. A recent American Society for Radiation Oncology survey demonstrated that a large majority of trainees and chairs value additional training in informatics. 2 Unique among medical specialties is the strong working relationships between radiation oncologists and medical physicists, who are often leading efforts in informatics. This partnership facilitates a natural cancer informatics role for the field of radiation oncology that could elevate its standing within the multidisciplinary oncology team. 3 The American Board of Preventive Medicine currently offers subspecialty certification in clinical informatics 4 with a training curriculum formed in cooperation with the American Medical Informatics Association. 5 Current pathways toward certification include a practice pathway or a 2-year Accreditation Council for Graduate Medical Education-accredited fellowship. The “grandfathered” practice pathway includes either a “time in practice” option or masters/PhD training in biomedical informatics, but it will sunset in 2022. Several of this letter{\textquoteright}s coauthors are board certified (C.D.F., P.E.G.) or board eligible (R.F.T., J.K.) in clinical informatics via the practice pathway. To address the emerging need for radiation oncologist-informaticians, the Oregon Health & Science University, 6 the University of Texas MD Anderson Cancer Center, 7 and the National Cancer Institute/Food and Drug Administration 8 are offering radiation oncology-specific informatics fellowships designed for board eligibility in clinical informatics. These fellowships are aimed to position graduates for jobs such as medical director of informatics and/or provide formal informatics certification. In summary, radiation oncology residents should be aware of a board-certification pathway in clinical informatics and that multiple institutions have created fellowships geared toward training the next generation of oncologist-informaticians. ",

year = "2020",

month = jan,

day = "1",

doi = "10.1016/j.ijrobp.2019.10.044",

language = "English (US)",

volume = "106",

pages = "217--218",

journal = "International Journal of Radiation Oncology Biology Physics",

issn = "0360-3016",

publisher = "Elsevier Inc.",

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TY - JOUR

T1 - In Regard to Wallner et al

AU - Kang, John

AU - Thompson, Reid F.

AU - Fuller, Clifton D.

AU - Camphausen, Kevin A.

AU - Gabriel, Peter E.

AU - Thomas, Charles R.

N1 - Funding Information: J.K. is supported by an RSNA Research & Education Foundation Resident Research Grant. C.D.F. is supported by grants from Elekta, NCI, NIDCR, and NIBIB. R.F.T. reports partial employment by Oregon Health & Science University and is director of its radiation oncology informatics fellowship program. C.D.F. received funding and salary support related to this project from the National Institutes of Health (NIH), including a National Institute of Biomedical Imaging and Bioengineering (NIBIB) Research Education Programs for Residents and Clinical Fellows Grant (R25EB025787-01). C.D.F. received funding and salary support unrelated to this project from the National Institute for Dental and Craniofacial Research Establishing Outcome Measures Award (1R01DE025248/R56DE025248) and an Academic Industrial Partnership Grant (R01DE028290); National Science Foundation (NSF), Division of Mathematical Sciences, Joint NIH/NSF Initiative on Quantitative Approaches to Biomedical Big Data (QuBBD) Grant (NSF 1557679); the NIH Big Data to Knowledge (BD2K) Program of the National Cancer Institute (NCI) Early Stage Development of Technologies in Biomedical Computing, Informatics, and Big Data Science Award (1R01CA214825); and NCI Early Phase Clinical Trials in Imaging and Image Guided Interventions Program (1R01CA218148). C.D.F. has received direct industry grant support, honoraria, and travel funding from Elekta AB. The contents do not represent the views of the U.S. Department of Veterans Affairs or the U.S. government. Funding Information: John Kang MD, PhD Department of Radiation Oncology, University of Rochester Medical Center, Rochester, New York Department of Radiation Oncology University of Rochester Medical Center Rochester New York Department of Radiation Oncology, University of Rochester Medical Center, Rochester, New York Reid F. Thompson MD, PhD Department of Radiation Medicine, Oregon Health & Science University, Portland, Oregon Department of Radiation Medicine Oregon Health & Science University Portland Oregon Department of Radiation Medicine, Oregon Health & Science University, Portland, Oregon Clifton D. Fuller MD, PhD Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas Department of Radiation Oncology University of Texas MD Anderson Cancer Center Houston Texas Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas Kevin A. Camphausen MD Radiation Oncology Branch, National Cancer Institute, Bethesda, Maryland Radiation Oncology Branch National Cancer Institute Bethesda Maryland Radiation Oncology Branch, National Cancer Institute, Bethesda, Maryland Peter E. Gabriel MD, MSE Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania Department of Radiation Oncology University of Pennsylvania Philadelphia Pennsylvania Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania Charles R. Thomas MD Department of Radiation Medicine, Oregon Health & Science University, Portland, Oregon Department of Radiation Medicine Oregon Health & Science University Portland Oregon Department of Radiation Medicine, Oregon Health & Science University, Portland, Oregon To the Editor: We read with interest a welcome critique on radiation oncology fellowships by Wallner et al. 1 We agree with the authors that fellowships for advanced training should be offered for 2 reasons: to focus on opportunities to which residents may have limited exposure during residency—such as protons or brachytherapy—and to provide a path to subspecialty board certification (eg, in Hospice and Palliative Medicine). Clinical Informatics training fulfills both criteria and represents an increasingly important aspect of medical practice. Competency in informatics is an increasingly marketable skill with multiscale benefits ranging from translational research to institutional quality assessment. A recent American Society for Radiation Oncology survey demonstrated that a large majority of trainees and chairs value additional training in informatics. 2 Unique among medical specialties is the strong working relationships between radiation oncologists and medical physicists, who are often leading efforts in informatics. This partnership facilitates a natural cancer informatics role for the field of radiation oncology that could elevate its standing within the multidisciplinary oncology team. 3 The American Board of Preventive Medicine currently offers subspecialty certification in clinical informatics 4 with a training curriculum formed in cooperation with the American Medical Informatics Association. 5 Current pathways toward certification include a practice pathway or a 2-year Accreditation Council for Graduate Medical Education-accredited fellowship. The “grandfathered” practice pathway includes either a “time in practice” option or masters/PhD training in biomedical informatics, but it will sunset in 2022. Several of this letter’s coauthors are board certified (C.D.F., P.E.G.) or board eligible (R.F.T., J.K.) in clinical informatics via the practice pathway. To address the emerging need for radiation oncologist-informaticians, the Oregon Health & Science University, 6 the University of Texas MD Anderson Cancer Center, 7 and the National Cancer Institute/Food and Drug Administration 8 are offering radiation oncology-specific informatics fellowships designed for board eligibility in clinical informatics. These fellowships are aimed to position graduates for jobs such as medical director of informatics and/or provide formal informatics certification. In summary, radiation oncology residents should be aware of a board-certification pathway in clinical informatics and that multiple institutions have created fellowships geared toward training the next generation of oncologist-informaticians.

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In Regard to Wallner et al

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